24,510 Statistics "HFSPO International Human Frontier Science Program Organization" positions
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place to call home for work and play. Posted Job Title Statistical Intern Job Profile Title Temporary Employee - Non-Exempt Job Description Summary Assist with statistical programming and data analysis
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leading centres for research into chronic diseases, such as cancer and heart disease. We are looking for a talented statistical epidemiologist to contribute to components of the CoMPuTE project (https
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Full time continuing role Exciting opportunity within the Sydney Informatics Hub to support university-wide research goals using advanced analytic and statistical skills Base Salary $104,633
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Job Title Statistical Analyst Agency Texas A&M University Department Academic & Business Performance Analytics Proposed Minimum Salary $4,142.67 monthly Job Location College Station, Texas Job Type
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The Department of Statistics and Somerville College are recruiting an Associate Professor of Statistics. The successful candidate will be an outstanding individual who is, or has the potential
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Statistical results of empirical studies in the behavioral and social sciences have repeatedly been shown to be reported in a suboptimal way. This PhD project seeks to understand why applied
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PhD on Motives for Statistical Reporting Practices (1.0 FTE) (V24.0329) « Back to the overview Job description Statistical results of empirical studies in the behavioral and social sciences have
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that integrate population genetics, statistical analysis, and health data. You will directly contribute to deeper analysis of data derived from the HGSC's pioneering work in Mendelian genomics and multiple NIH
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. Applications are invited for the position of Lecturer/Senior Lecturer in Statistics within the School of Mathematics, Statistics & Physics. Our Statistics Group is internationally recognised for its strength in
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Mathematics: Statistics Position You will work actively on the preparation and defence of a PhD thesis in statistics and data science. Possible topics are causal machine learning, causal inference, robust